Model-agnostic Evaluations
In Table REF , we further test the performance of the full PanoDepth pipeline given different variations of stereo matching networks on Stanford2D3D dataset [1]}.
Comparing with the single-stage coarse depth estimation, all two-stage configurations show better performances. By adding a light-weight one-level stereo matching network with 32 depth plane in the second stage, PanoDepth can already reach comparable performance to BiFuse [2]}. The performance can be further improved by introducing SWL, adding more cascade levels, and using more sophisticated coarse depth estimation.
